Match score not available

Lead Data Scientist

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Experienced in AI/GenAI solutions, Proficient in Python and ML/DL stack, Well-versed in NVIDIA AI technologies, Knowledgeable in cloud platforms like GCP, AWS, Azure, Experienced in MLOps/DevOps concepts.

Key responsabilities:

  • Guide teams on ML production lifecycle
  • Implement end-to-end production pipelines
  • Communicate AI use cases to stakeholders
  • Collaborate on model operationalization strategies
  • Support and enhance ML software infrastructure
SoftServe logo
SoftServe Information Technology & Services XLarge https://www.softserveinc.com/
10001 Employees
See more SoftServe offers

Job description

WE ARE

SoftServe is a global digital solutions company headquartered in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients in the USA, Europe, and APAC region. We are about people who create bold things, make a difference, have fun, and love their work.

We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field.

In a Data Science Center of Excellence, we contribute to a wide range of projects in different areas and technologies.

IF YOU ARE

  • Experienced in delivering end-to-end AI/GenAI solutions utilizing cloud platforms and Nvidia AI stack
  • Versed in Nvidia AI technologies: NGC, Triton Server, NEMO, Riva
  • Interested in operationalizing AI pipelines and bringing them to production
  • Proficient in consulting, designing, and delivering AI, GenAI, and data pipelines for production, establishing robust data architectures, and setting up the necessary infrastructure
  • Adept at machine learning/deep learning models, their lifecycle, software engineering principles, and MLOps/DevOps concepts
  • Well-versed in Python and traditional Python DL/ML stack
  • Knowledgeable of AI/GenAI and Data Engineering tools in GCP, AWS, or Azure
  • A practitioner of ML solutions design patterns
  • Leading a team of researchers/engineers during initial engagement to effectively show the power of AI to clients
  • A sound communicator and presenter, translating complex concepts to a non-technical audience in a clear way
  • Experienced in Generative AI, designing and implementing end-to-end ML solutions utilizing Cloud AI services or AI software
  • Hands-on NVIDIA Launchpad, Nvidia MIG capable GPU, Nvidia AI Enterprise Platform, profiling using NVidia NsightTM tools (as a plus)
  • A practitioner of ClearML, Domino, or similar tools (as an advantage)
  • Good at using Slurm for job orchestration
  • Having NVidia Certifications (as a strong win)


AND YOU WANT TO

  • Communicate use cases, requirements, and expectations with stakeholders
  • Guide Engineering and Data Science teams on ML systems production lifecycle
  • Collaborate with Data Science teams on model operationalization strategies
  • Work closely with Product teams to deliver and operate complex ML systems
  • Implement end-to-end production pipelines for ML solutions utilizing the power of Nvidia AI technologies
  • Support and continuously enhance ML software infrastructure: CI/CD, data stores, cloud services, network configuration, security, and system monitoring
  • Set up scalable monitoring systems for data pipelines and ML models
  • A team of highly skilled professionals passionate about solving complex business problems.


TOGETHER WE WILL

  • Work closely with clients to understand their business needs and provide recommendations on how to leverage data best to improve business outcomes
  • Communicate with the world-leading companies from our logos portfolio and contribute to winning new ones
  • Operationalize our clients’ AI solutions by leveraging best practices in Machine Learning and MLOps, DevOps, and Software engineering
  • Maintain synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
  • Take part in improving our partnership with NVIDIA
  • Experiment with the latest modern tools and algorithms and stay up to date with top-notch technologies
  • Participate in international events and get certifications in cutting-edge technologies
  • Have access to powerful educational and mentorship programs
  • Work as a technical expert on different projects with a flexible schedule






SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Team Leadership
  • Verbal Communication Skills

Data Scientist Related jobs